A minimal cascade model for the mitotic oscillator involving cyclin and cdc2 kinase.
Open accessAbstract
A minimal model for the mitotic oscillator is presented. The model, built on recent experimental advances, is based on the cascade of post-translational modification that modulates the activity of cdc2 kinase during the cell cycle. The model pertains to the situation encountered in early amphibian embryos, where the accumulation of cyclin suffices to trigger the onset of mitosis. In the first cycle of the bicyclic cascade model, cyclin promotes the activation of cdc2 kinase through reversible dephosphorylation, and in the second cycle, cdc2 kinase activates a cyclin protease by reversible phosphorylation. That cyclin activates cdc2 kinase while the kinase triggers the degradation of cyclin has suggested that oscillations may originate from such a negative feedback loop [Félix, M. A., Labbé, J. C., Dorée, M., Hunt, T. & Karsenti, E. (1990) Nature (London) 346, 379-382]. This conjecture is corroborated by the model, which indicates that sustained oscillations of the limit cycle type can arise in the cascade, provided that a threshold exists in the activation of cdc2 kinase by cyclin and in the activation of cyclin proteolysis by cdc2 kinase. The analysis shows how miototic oscillations may readily arise from time lags associated with these thresholds and from the delayed negative feedback provided by cdc2-induced cyclin degradation. A mechanism for the origin of the thresholds is proposed in terms of the phenomenon of zero-order ultrasensitivity previously described for biochemical systems regulated by covalent modification.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
By examining 17 models from the systems biology literature, the paper showed that their parameter sensitivities all share striking common features deemed "sloppiness".
“By examining 17 models from the systems biology literature [2,21,25,28–41], we showed that their parameter sensitivities all share striking common features deemed “sloppiness””
From Universally Sloppy Parameter Sensitivities in Systems Biology Models (2007) · cites this paper as [30]
Cited by
Sorted by citations
Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell
Tyson, J. J., Chen, K. C., & Novak, B. (2003) · Current Opinion in Cell Biology · doi:10.1016/s0955-0674(03)00017-6 · Cited by 1,583 · see citing works
Universally Sloppy Parameter Sensitivities in Systems Biology Models
Gutenkunst, R. N., Waterfall, J. J., Casey, F. P., Brown, K. S., Myers, C. R., & Sethna, J. P. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030189 · Cited by 1,261 · see citing works
Kholodenko, B. N. (2000) · European Journal of Biochemistry · doi:10.1046/j.1432-1327.2000.01197.x · Cited by 643 · see citing works
A proximate model for thermal tolerance in ectotherms
Van Der Have, T. M. (2002) · Oikos · doi:10.1034/j.1600-0706.2002.980115.x · Cited by 110 · see citing works
The systems biology of mitochondrial fission and fusion and implications for disease and aging
Chauhan, A., Vera, J., & Wolkenhauer, O. (2014) · Biogerontology · doi:10.1007/s10522-013-9474-z · Cited by 52 · see citing works
PharmML in Action: an Interoperable Language for Modeling and Simulation
Bizzotto, R., Comets, E., Smith, G., Yvon, F., Kristensen, N., & Swat, M. (2017) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12213 · Cited by 9 · see citing works
- Authors
- Goldbeter, A.
- Affiliations
- Université Libre de Bruxelles (BE)
- Corresponding author
- Goldbeter, A
- ORCID
- Goldbeter, A
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 1991-10-15
- Volume
- 88
- Issue
- 20
- Pages
- 9107-9111
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC52661
- OpenAlex
- W2069076431
- Cited by
- 406
- References
- 0
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4 · 2023: 9 · 2022: 10 · 2021: 11 · 2020: 6 · 2019: 13 · 2018: 13 · 2017: 8 · 2016: 6 · 2015: 19 · 2014: 21 · 2013: 17 · 2012: 25
- FWCI
- 1.46
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
- Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
- Keywords
- cell cycle regulation, cdc2 kinase, cyclins, negative feedback loop, limit cycle oscillations, threshold dynamics, amphibian embryos, dephosphorylation, phosphorylation, time delay
- MeSH terms
- Cell Cycle, Kinetics, Mathematics, Mitosis, Models, Biological, Time Factors, CDC2 Protein Kinase, Cyclins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review